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Vrinda International, a leading recruitment firm specializing in IT talent acquisition, invites an experienced AI/ML engineer to join its Bengaluru office. The role focuses on developing, deploying, and optimizing AI/ML models for production, including fine-tuning LLMs and building NLP and multimodal solutions.
You will work with graph and vector databases, collaborate with cross-functional teams, and mentor junior engineers. Immediate joining available and work-from-office setup in Bengaluru.
Welcome to Vrinda International's Talent Portal
Discover your next career milestone with Vrinda International, a leading recruitment firm specializing in IT talent acquisition, international education consultancy, and language coaching opportunities. Our portal streamlines your job search with cutting-edge Applicant Tracking System (ATS) technology.
Why Choose Us?
Join thousands of professionals who've advanced their careers through Vrinda International.
Work Mode: Work From Office
Experience: 6–9 Years
Joining: Immediate Joiners to 10 Days Only
Interview Process: Only 1 Face-to-Face Technical Round (Post Screening)
Develop, deploy, and optimize AI/ML models for production environments.
Fine-tune Large Language Models (LLMs) using LoRA, QLoRA, and PEFT techniques.
Build scalable NLP, retrieval, and multimodal AI solutions.
Integrate AI systems with Graph Databases and Vector Databases.
Collaborate with cross-functional teams and mentor junior engineers.
Drive innovation by implementing cutting-edge AI technologies.
Strong hands-on experience with TensorFlow, PyTorch, and Hugging Face
Expertise in LLM Fine-Tuning (LoRA, QLoRA, PEFT)
Experience with Graph Databases (Neo4j, TigerGraph)
Hands-on with Vector Databases (Pinecone, Weaviate, Milvus, FAISS, ChromaDB)
Deep understanding of Transformers, GANs, and Diffusion Models
Strong experience in NLP, Retrieval Systems, and Multimodal AI
Excellent Python programming with NumPy, Pandas, Scikit-learn
Experience deploying ML models on AWS, Azure, or GCP
MLOps knowledge for AI deployment and monitoring
Open-source contributions or AI research publications
Understanding of Ethical AI and Data Privacy
Experience with multimodal AI applications
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong analytical and problem-solving skills
Excellent communication and stakeholder management
Ability to mentor team members and work independently
Passion for building production-ready AI solutions